Threshold-based Fall Detection
Threshold-Based Fall Detection is a fall detection method that belongs to the class of rule-based systems and is distinguished by its reliance on predefined physiological or kinematic thresholds—such as acceleration magnitude, angular velocity, or posture angle—to trigger fall alarms when sensor measurements exceed established limits.
47
Publications
3.7K
Citations
173
Authors
78
Institutions
Publications per year
2017–2026
20
Parents
47
A proposal for the classification and evaluation of fall detectors
Norbert Noury, Pierre Rumeau, Alan Bourke et al. · IRBM · 2008 · 286 citations
A Wearable Airbag to Prevent Fall Injuries
T. Tamura, Takumi Yoshimura, M. Sekine et al. · IEEE Transactions on Information Technology in Biomedicine · 2009 · 220 citations
1–5 of 47
173
6
h-index
3
h-index
2
h-index
2
h-index
2
h-index
1–5 of 173
78

University of Limerick
Limerick, Ireland
6 h-index
16 publications
3.9K citations

Ollscoil na Gaillimhe – University of Galway
Galway, Ireland
3 h-index
4 publications
604 citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
12 publications
1K citations

University of Oulu
Oulu, Finland
2 h-index
8 publications
992 citations

National Yang Ming Chiao Tung University
Hsinchu, Taiwan
2 h-index
7 publications
435 citations

Laboratoire d'Analyse et d'Architecture des Systèmes
Toulouse, France
2 h-index
10 publications
456 citations

National University of Ireland
Dublin, Ireland
2 h-index
3 publications
49 citations

University Hospital of Bern
Bern, Switzerland
1 h-index
1 publications
17 citations
1–8 of 78
4 publications · 261 citations
4
h-index
3 publications · 190 citations
3
h-index
Conference · 2 publications · 219 citations
2
h-index
2 publications · 99 citations
2
h-index
1 publications · 12 citations
1
h-index
1–5